Data Engineer II, DSP Analytics
Teknik, data och digitalt · Data, AI och analys · Data engineering · Business intelligence
I korthet
The DSP Analytics team at Amazon is seeking a Data Engineer II to design and build next-generation data infrastructure for GenAI applications and automate data operations. This role involves leading complex data architectures, implementing large-scale data pipelines using AWS technologies, and collaborating with cross-functional teams to deliver innovative data solutions.
Ansvarsområden
- Lead and design complex data architectures, ensuring scalability, security, and alignment with business objectives.
- Drive implementation of large-scale data pipelines and ETL processes using AWS technologies.
- Identify and resolve system-wide data challenges, including performance bottlenecks and architectural deficiencies.
- Establish data engineering best practices, including governance, security standards, and operational excellence.
- Ensure data solutions are auditable, accessible, and maintainable across the organization.
- Collaborate with cross-functional teams to deliver innovative data solutions.
Krav
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Bachelor's degree in Computer Science, Engineering, or related fields
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Önskade kvalifikationer
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
#Data Engineering#Analytics#DSP#AWS#Generative AI#ETL#Data Pipelines#Data Architecture#Data Modeling#Business Intelligence